18094918. INCREMENTAL SYNCHRONIZATION OF METADATA simplified abstract (Rubrik, Inc.)
Contents
INCREMENTAL SYNCHRONIZATION OF METADATA
Organization Name
Inventor(s)
Vijay Karthik of Santa Clara CA (US)
Akhilesh Krishnan of Sunnyvale CA (US)
Dhawal Upadhyay of Mountain View CA (US)
Kevin Mu of Santa Clara CA (US)
INCREMENTAL SYNCHRONIZATION OF METADATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18094918 titled 'INCREMENTAL SYNCHRONIZATION OF METADATA
The abstract describes methods, systems, and devices for data management, specifically focusing on storing metadata for data protection in computing objects and exporting this metadata to a cloud environment.
- Data management clusters store metadata for data protection in computing objects.
- Metadata is exported to a cloud environment for data protection purposes.
- The exported metadata is downloaded and written to a database for storage.
- An interface is provided for managing data management clusters, reflecting the version of metadata stored in the database.
Potential Applications: - Cloud data management systems - Data protection services - Database management tools
Problems Solved: - Efficient storage and management of metadata for data protection - Seamless integration with cloud environments
Benefits: - Enhanced data protection for computing objects - Streamlined data management processes - Improved accessibility and control over metadata
Commercial Applications: Title: Cloud Data Management Solutions for Enhanced Data Protection This technology can be utilized by cloud service providers, data management companies, and organizations handling sensitive data to ensure robust data protection measures are in place.
Prior Art: Researchers can explore existing patents related to cloud data management, metadata storage, and data protection technologies to understand the evolution of this field.
Frequently Updated Research: Stay informed about advancements in cloud data management, metadata storage techniques, and data protection strategies to enhance the efficiency and security of data management processes.
Questions about Data Management Solutions: 1. How does this technology improve data protection for computing objects? 2. What are the key advantages of exporting metadata to a cloud environment for data management purposes?
Original Abstract Submitted
Methods, systems, and devices for data management are described. Data management clusters may be configured to store metadata associated with providing data protection for a set of computing objects. A data management cluster may be triggered to export respective metadata to a cloud environment, where the respective metadata may be associated with providing data protection for one or more of the computing objects. Based on the export operation being triggered, the respective metadata may be downloaded from the cloud environment and written to a database that is configured to store a version of the metadata associated with providing the data protection for the set of computing objects. An interface for managing the operation of the data management clusters may be provided, where a content of the interface may reflect the version of the metadata stored at the database.
